30 finite-element-analysis PhD positions at Delft University of Technology (TU Delft) in Netherlands
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
for rapid and resilient decarbonization. Your research will combine time-series analysis, supervised and unsupervised learning, and explainable AI methods to uncover the dynamic patterns preceding
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coordination failures reshape decarbonization pathways. Your research will combine methods from network analysis and agent-based modelling of economic systems to trace how international material and financial
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and computation to solve hard problems? As our colleague, you’ll advance simulation strategies for indefinite systems in plasma fusion and quantum physics. Job description The Numerical Analysis group
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application of scientific knowledge. Experience with quantitative research methods and data analysis is required. Experience with using LLMs is a plus. Excellent written and spoken command of English (C2
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conservation, (ii) Autonomy, perception and AI for complex natural environments and (iii) Analysis of large, sample-based datasets for wildlife ecology & biodiversity conservation. The candidates will work
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exchanges. A special element will be the design of EXPLORA kits: through teamwork with other doctoral candidates in the network you will make an EXPLORA kit forming a meaningful contribution towards science
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asymptotic analysis of stochastic processes Impact: Faster detection of anomalies and reliable uncertainty quantification Job Description As a PhD candidate in Mathematical Statistics, you will develop novel
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and the use of advanced electrochemical methods and surface analysis techniques. We aim to deepen the fundamental knowledge of electrochemistry and surface science and translate this into practical
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of biomass scale-up. Against this backdrop, this PhD project aims to explore growth conditions that will increase the yield and biomass productivity of open-culture PNSB for nutritional ingredient in food and
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muscle physiology and medical imaging. Experience with human motion capture experiments. Solid programming skills (e.g., Python, MATLAB) for data analysis and computational modeling. Confidence and